User 3224 | 3/14/2016, 4:08:59 PM
I am sure that I am missing something obvious, but I have a question on recommending new items after fitting a new recommender model.
In short, I held out a sample of users/items. After training the model, I want to pass in those users/items and recommend new items based on that model, however, we are only passing the user to the
recommend method. I would have expected that recommend method would have used the known information from the holdout group to find similar users that were part of the training process, and then recommend new items from there. If we are just passing a set of user ids with no other information, what is the recommendation based off of?
Like I said, I am sure that I am missing something obvious, but any help is much appreciated.